Text Classification
Transformers
TensorBoard
Safetensors
roberta
Trained with AutoTrain
text-embeddings-inference
Instructions to use Barzillian/knowledge-Distillation with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Transformers
How to use Barzillian/knowledge-Distillation with Transformers:
# Use a pipeline as a high-level helper from transformers import pipeline pipe = pipeline("text-classification", model="Barzillian/knowledge-Distillation")# Load model directly from transformers import AutoTokenizer, AutoModelForSequenceClassification tokenizer = AutoTokenizer.from_pretrained("Barzillian/knowledge-Distillation") model = AutoModelForSequenceClassification.from_pretrained("Barzillian/knowledge-Distillation", device_map="auto") - Notebooks
- Google Colab
- Kaggle
- Xet hash:
- b6d9c9d5cfae2abf0e73fd8e2b8f1b0090d06b02b1ee17c889418f0719ed86fe
- Size of remote file:
- 5.37 kB
- SHA256:
- ce088ec1956cdb4b514d584fd404b0376e0672539fe83ea6c766a3392c1a8042
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